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Model: "llama-3-1-70b"
Vision Everywhere: Apple AIMv2 and Jina CLIP v2
aimv2-3b jina-clip-v2 tulu-3 llama-3-1 claude-3-5 llama-3-1-70b apple jina allen_ai autoregressive-objectives vision multilinguality multimodality image-generation model-training model-optimization reinforcement-learning fine-tuning model-benchmarking
Apple released AIMv2, a novel vision encoder pre-trained with autoregressive objectives that achieves 89.5% accuracy on ImageNet and integrates joint visual and textual objectives. Jina launched Jina CLIP v2, a multimodal embedding model supporting 89 languages and high-resolution images with efficient Matryoshka embeddings reducing dimensions by 94% with minimal accuracy loss. Allen AI introduced Tülu 3 models based on Llama 3.1 with 8B and 70B parameters, offering 2.5x faster inference and alignment via SFT, DPO, and RLVR methods, competing with Claude 3.5 and Llama 3.1 70B. These developments highlight advances in autoregressive training, vision encoders, and multilingual multimodal embeddings.
Not much happened today
grok-beta llama-3-1-70b claude-3-5-haiku claude-3-opus llama-3 chatgpt gemini meta-ai-fair scale-ai anthropic perplexity-ai langchainai weights-biases qwen pricing national-security defense open-source agentic-ai retrieval-augmented-generation election-predictions real-time-updates annotation ai-ecosystem memes humor alexandr_wang svpino aravsrinivas bindureddy teortaxestex jessechenglyu junyang-lin cte_junior jerryjliu0
Grok Beta surpasses Llama 3.1 70B in intelligence but is less competitive due to its pricing at $5/1M input tokens and $15/1M output tokens. Defense Llama, developed with Meta AI and Scale AI, targets American national security applications. SWE-Kit, an open-source framework, supports building customizable AI software engineers compatible with Llama 3, ChatGPT, and Claude. LangChainAI and Weights & Biases integrate to improve retrievers and reduce hallucinations in RAG applications using Gemini. Perplexity AI offers enhanced election tracking tools for the 2024 elections, including live state results and support for Claude 3.5 Haiku. AI Talk launched featuring discussions on Chinese AI labs with guests from Qwen. Memes highlight Elon Musk and humorous AI coding mishaps.
Pixtral 12B: Mistral beats Llama to Multimodality
pixtral-12b mistral-nemo-12b llama-3-1-70b llama-3-1-8b deeps-eek-v2-5 gpt-4-turbo llama-3-1 strawberry claude mistral-ai meta-ai-fair hugging-face arcee-ai deepseek-ai openai anthropic vision multimodality ocr benchmarking model-release model-architecture model-performance fine-tuning model-deployment reasoning code-generation api access-control reach_vb devendra_chapilot _philschmid rohanpaul_ai
Mistral AI released Pixtral 12B, an open-weights vision-language model with a Mistral Nemo 12B text backbone and a 400M vision adapter, featuring a large vocabulary of 131,072 tokens and support for 1024x1024 pixel images. This release notably beat Meta AI in launching an open multimodal model. At the Mistral AI Summit, architecture details and benchmark performances were shared, showing strong OCR and screen understanding capabilities. Additionally, Arcee AI announced SuperNova, a distilled Llama 3.1 70B & 8B model outperforming Meta's Llama 3.1 70B instruct on benchmarks. DeepSeek released DeepSeek-V2.5, scoring 89 on HumanEval, surpassing GPT-4-Turbo, Opus, and Llama 3.1 in coding tasks. OpenAI plans to release Strawberry as part of ChatGPT soon, though its capabilities are debated. Anthropic introduced Workspaces for managing multiple Claude deployments with enhanced access controls.
super quiet day
jamba-1.5 phi-3.5 dracarys llama-3-1-70b llama-3-1 ai21-labs anthropic stanford hugging-face langchain qdrant aws elastic state-space-models long-context benchmarking ai-safety virtual-environments multi-agent-systems resource-management community-engagement model-performance bindu-reddy rohanpaul_ai jackclarksf danhendrycks reach_vb iqdotgraph
AI21 Labs released Jamba 1.5, a scaled-up State Space Model optimized for long context windows with 94B parameters and up to 2.5X faster inference, outperforming models like Llama 3.1 70B on benchmarks. The Phi-3.5 model was praised for its safety and performance, while Dracarys, a new 70B open-source coding model announced by Bindu Reddy, claims superior benchmarks over Llama 3.1 70B. Discussions on California's SB 1047 AI safety legislation involve Stanford and Anthropic, highlighting a balance between precaution and industry growth. Innovations include uv virtual environments for rapid setup, LangChain's LangSmith resource tags for project management, and multi-agent systems in Qdrant enhancing data workflows. Community events like the RAG workshop by AWS, LangChain, and Elastic continue to support AI learning and collaboration. Memes remain a popular way to engage with AI industry culture.